Mechanical Engineering Training Package, Intermediates, Part 3, 10 Exercises

Description

Mechanical Engineering – ANSYS Fluent Training Package, 10 Practical Exercises for INTERMEDIATE Users (Part 3)

There are 10 practical exercises in this training package by ANSYS Fluent software for Mechanical Engineers. This package presents how to simulate different mechanical devices for all INTERMEDIATE users.

Simulation number 1 is modeling gas-particles movement through the convergence-divergence nozzle by a two-way DPM model. The nozzle is in grossly overexpanded condition. These kinds of nozzles are used in the gas and petrochemical and also MECHANICAL industry.

In project number 2, the motion of particles in a cyclone has been simulated. We used the one-way DPM to simulate the discrete phase. A cyclone is a device used to separate particles from gas and has many applications in the mechanical industry. In practical exercise number 3, the motion of particles in a Fly Ash Cyclone has been simulated. The Eulerian-Lagrangian technique is applied in the cyclone separator simulation. In this approach, the gas is treated as a continuum, and individual solid particles are tracked through the flow field by Lagrangian tracking to determine their position.

In project number 4, the reverse osmosis mechanism is simulated. This mechanism is used to purify water so that a membrane is placed in front of the water movement and does not allow the salts in the water to leave and pure water leaves. Eulerian Multiphase model has been used in this project.

In practical exercise number 5, the aerodynamic coefficients of a Formula One (F1) car by two different solvers of pressure-based and density-based, has been studied, at a speed of 108 meters per second at a lateral angle of zero degrees (actually a straight path). This velocity at the ground level is equivalent to Mach number approximately 0.32. We know this area from Mach number is the transition zone from incompressible to compressible flow, so on this geometry, the drag coefficient is investigated using two pressure-based and density-based solvers is discussed.

Problem number 6 is going to simulate the airflow inside an axial flow compressor (Rotor Nasa 37). The present model consists of a series of blades for an axial flow compressor connected to the central axis within a cylindrical area. To simplify the simulation model, only one row of rotating blades is drawn on the central rotor of the compressor.

In project number 7, a mixer tank is modeled and the effect of its rotating impeller on the mixing procedure is investigated. The simulation is done using the VOF model for the three phases of air, water, and salt. The k-epsilon model is applied for solving the turbulent flow inside the tank. MRF (Moving Reference Frame) model is also used to model the rotation of the impeller.

In practical exercise number 8, the heat conduction of a brake disk system is modeled and simulated. The disk revolves at the speed of 20rad/s and a braking pad is set to make contact with the disk. This frictional contact will result in heat generation inside the disk and the pad.

Problem number 9 simulates the water flow in a water jet. A water jet is a mechanical tool for creating a high-pressure water flow for use in operations such as cutting or cleaning surfaces of objects. The working mechanism of this tool is that it consists of a thin layer of water at a very high speed to which an abrasive substance is injected to cut hard materials, and as a result, the mixture of water and abrasives can make a narrow cut on the piece.

Finally, in project number 10, the airflow passing over a mechanical impeller of an electrical motor is investigated. The airflow enters the computational domain with 80m/s, and the impeller rotates with 1000rpm. A Realizable k-epsilon model is exploited to solve turbulent flow equations. It should be noted that the MRF (frame motion) option has been activated to model the rotation of the impeller.

You can obtain Geometry & Mesh file and a comprehensive Training Movie that presents how to solve the problem and extract all desired results.